Machine Learning Engineer | We Are META | Tech Jobs

Machine Learning Engineer

Portugal

Remote

English, Tensorflow, PyTorch, SciKit-Learn, Continuous Integration / Continuous Delivery (CI/CD), Docker, Kubernetes (K8s), Apache Airflow, Amazon SageMaker

Seeking a Machine Learning Engineer: Rhino, are you there?

At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.

Why join us?

  1. Expand your network: As a consultant at We Are META, you’ll have access to a network of national and international partners across diverse sectors of the tech industry.
  2. Enjoy our perks: When you join the crash you’ll have an array of benefits, to help you achieve the best work-life balance.
  3. Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy (remote, hybrid, on-site) or the company’s culture.
  4. Personalized support: With our career coach, we assure that all your needs are being met and you’re being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.

Perks of becoming a Rhino:

  • You’ll get a welcome kit 
  • Opportunities for career progression 
  • Live on the edge with our health insurance 
  • Coverflex meal card 
  • Other protocols and special discounts

For this position, the perfect Rhino should have the following skills: 

  • More than 5 years of professional experience working as a Machine Learning Engineer or in similar ML-focused roles
  • Background with cloud and Databricks
  • Strong knowledge of supervised and unsupervised learning techniques, survival analysis, time series modeling, and statistical forecasting
  • Proven experience developing predictive models such as churn prediction, user journey analysis, and sales forecasting using behavioral datasets
  • Hands-on experience with leading machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn
  • Practical experience in model lifecycle management, including training, version control, deployment, and performance monitoring
  • Solid understanding of MLOps principles and tools, including CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, MLflow, feature stores, and model observability solutions
  • English level at least a B2 level
  • Availability for remote work in Portugal (requires availability to relocate within Portugal). 
 

If you're ready to join the crash and become a Rhino, please click here and fill out the form!

Use the form below to enter the recruitment system directly:

I allow WE ARE META to store and process my personal data. My information will be handled in accordance with WE ARE META's Privacy Policy*